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luno

Luno MCP Server

Official
by luno

get_candles

Read-onlyIdempotent

Retrieve OHLCV candlestick data for a trading pair to analyze price trends, create charts, compute indicators, or backtest strategies.

Instructions

Return OHLCV candlestick data for a trading pair. Each candle contains timestamp (ms), open, high, low, close, and base-currency volume. Public endpoint, no auth required. Use for charts, indicators, or backtesting; not for live order-book state (use get_order_book) or trade-by-trade flow (use list_trades).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
durationYesCandle duration in seconds. Common values: 60 (1m), 300 (5m), 900 (15m), 1800 (30m), 3600 (1h), 10800 (3h), 14400 (4h), 28800 (8h), 86400 (1d), 259200 (3d), 604800 (1w). The Luno API only accepts a fixed set of durations; passing an unsupported value will return an error.
pairYesTrading pair using Luno's symbol convention (e.g. XBTZAR for BTC/ZAR, ETHZAR, XBTEUR). BTC is automatically rewritten to XBT.
sinceNoStart of the window as Unix epoch milliseconds (UTC). Defaults to 24 hours ago when omitted or 0.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
candlesYes
durationYes
pairYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint, destructiveHint, idempotentHint, openWorldHint. Description adds 'Public endpoint, no auth required' and mentions base-currency volume, providing safety info beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with purpose, no redundant information. Every sentence is informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of output schema and rich annotations, the description fully covers purpose, usage, parameters, and behavior. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds context on common duration values and that Luno accepts a fixed set, plus automatic BTC rewrite. This adds meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it returns OHLCV candlestick data for a trading pair, specifies candle fields, and distinguishes from siblings get_order_book and list_trades.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when to use (for charts, indicators, backtesting) and when not to (live order-book state or trade-by-trade flow), including specific alternative tool names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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